seo-profound

Track brand citations across LLMs with time-series data.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/REVREBEL/seo-api --skill seo-profound-revrebel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-profound
Source: https://github.com/REVREBEL/seo-api/tree/main/review/profound/skills/seo-profound
Command: npx skills add https://github.com/REVREBEL/seo-api --skill seo-profound-revrebel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires profound-api, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive view of brand citations across various Large Language Models (LLMs), enabling better understanding of brand visibility and market position.

Core Features & Use Cases

  • LLM Citation Tracking: Monitor brand mentions across ChatGPT, Perplexity, and other LLMs.
  • Time-Series Data: View time-series data to track trends over time.
  • Triangulated AI Visibility: Pair with seo-seranking for a more complete picture of AI visibility.
  • Use Case: Use this Skill to analyze how your brand is being discussed across different LLM platforms, helping you understand where you stand in the AI-driven market.

Quick Start

Use the /seo profound citations <brand> command to track current citation rates for a specific brand across LLMs.

Frequently Asked Questions about seo-profound

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track brand citations across ChatGPT and Perplexity?

LLM citation tracking monitors brand mentions across platforms like ChatGPT and Perplexity to provide time-series data. This helps brand managers and SEO professionals understand AI-driven market visibility and track trends over time.

Why do I need an API key to monitor LLM brand visibility?

You need a Profound API key to access the underlying LLM data sources required for tracking. This dependency authenticates your requests to retrieve time-series brand mention data across various large language models.

Can I view historical time-series data for brand mentions in AI platforms?

Yes, the Skill provides time-series data to track brand mention trends over time. This allows you to analyze how your brand is being discussed across different LLM platforms and understand your evolving market position.

What's the best way to get a complete picture of AI search visibility?

For triangulated AI visibility, pair this Skill with seo-seranking to combine LLM citation tracking with traditional SEO metrics. This provides a more complete picture of your overall AI-driven market visibility and brand position.

Does this approach work for tracking brand mentions in specific LLMs?

Yes, it monitors brand mentions across various Large Language Models including ChatGPT and Perplexity. You can analyze how your brand is being discussed to understand where you stand in the AI-driven market.